A method and apparatus for design and optimization of a network are described. A first deep neural network is used to obtain a function that represents a relationship between design parameters of the network and network performance metrics of the network. A second deep neural network is used to obtain a subset of one or more candidate network deployment configurations that optimize the performance metrics for the network. An optimal candidate network deployment configuration for the network is selected from the subset of candidate network deployment configurations wherein the optimal candidate network deployment configuration maximizes performance of the network as defined based on the performance metrics.
Legal claims defining the scope of protection, as filed with the USPTO.
2. The method of claim 1, wherein the wireless network is a radio access network.
3. The method of claim 2, wherein the one or more design parameters include one or a combination of an inter site distance between base stations of the radio access network, an antenna tilt angle of antennas in the radio access network, and a traffic load.
4. The method of claim 2, wherein the one or more design parameters further include one or a combination of an altitude of a user equipment, a number of antenna sectors, carrier frequency, a number of antenna elements, an antenna pattern, a configuration parameter of a base station of the radio access network, a configuration parameter of the user equipment, investment costs, and operational costs.
5. The method of claim 2 wherein the one or more network performance metrics includes one or a combination of signal to noise plus interference ratio, signal-to-interference-ratio, and signal-to-noise ratio, and reference signal received power, and user throughput, a measure of resource utilization, a measure of resilience of the radio access network, an measure of energy efficiency for the radio access network, and a measure of cost efficiency for the radio access network.
7. The non-transitory machine-readable storage medium of claim 6, wherein the wireless network is a radio access network.
8. The non-transitory machine-readable storage medium of claim 7, wherein the one or more design parameters include one or a combination of an inter site distance between base stations of the radio access network, an antenna tilt angle of antennas in the radio access network, and a traffic load.
9. The non-transitory machine-readable storage medium of claim 7, wherein the one or more design parameters further include one or a combination of an altitude of a user equipment, a number of antenna sectors, carrier frequency, a number of antenna elements, an antenna pattern, a configuration parameter of a base station of the radio access network, a configuration parameter of the user equipment, investment costs, and operational costs.
10. The non-transitory machine-readable storage medium of claim 7, wherein the one or more network performance metrics includes one or a combination of signal to noise plus interference ratio, signal-to-interference-ratio, and signal-to-noise ratio, and reference signal received power, and user throughput, a measure of resource utilization, a measure of resilience of the radio access network, an measure of energy efficiency for the radio access network, and a measure of cost efficiency for the radio access network.
12. The apparatus of claim 11, wherein the wireless network is a radio access network.
13. The apparatus of claim 12, wherein the one or more design parameters include one or a combination of an inter site distance between base stations of the radio access network, an antenna tilt angle of antennas in the radio access network, and a traffic load.
14. The apparatus of claim 12, wherein the one or more design parameters further include one or a combination of an altitude of a user equipment, a number of antenna sectors, carrier frequency, a number of antenna elements, an antenna pattern, a configuration parameter of a base station of the radio access network, a configuration parameter of the user equipment, investment costs, and operational costs.
15. The apparatus of claim 12, wherein the one or more network performance metrics includes one or a combination of signal to noise plus interference ratio, signal-to-interference-ratio, and signal-to-noise ratio, and reference signal received power, and user throughput, a measure of resource utilization, a measure of resilience of the radio access network, an measure of energy efficiency for the radio access network, and a measure of cost efficiency for the radio access network.
Cooperative Patent Classification codes for this invention. Click any code to explore related patents in that topic.
December 11, 2020
June 25, 2024
Browse 5M+ US patents with plain-English claim translations and AI-generated analysis.